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* merge repeated slashes in the media auth path check X-Original-URL carries only the raw request path since #24602, and extract_path parsed it with urlparse, which reads a path starting with // as a host. A restricted role could request another camera's clips or recordings with a leading // and the media check saw a non-media path and allowed it, while nginx merged the slashes and served the file. extract_path now splits the raw URI the same way the go2rtc stream check does and merges repeated slashes as nginx does before matching locations. The split helper moves from auth.py into media_auth.py so both checks share it. * check the nginx-normalized path in the media auth dot-segment fallback The dot-segment fallback only checked the raw first segment, so a role restricted to one camera could request `/x/../clips/back_door-1.jpg` and nginx served back_door's clip. The fallback now resolves the path the way nginx does before checking for a media root, and the URI split ends at a literal `#` since nginx ignores everything after it.
Fix review summary report analysis creation to be scoped for users with full camera access only (#24056)
Frigate NVR™ - Realtime Object Detection for IP Cameras
[English] | 简体中文
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.
- Tight integration with Home Assistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
License
This project is licensed under the MIT License.
- Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
- Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.
Please see our Trademark Policy for details on acceptable use of our brand assets.
Screenshots
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
Copyright © 2026 Frigate, Inc.
Description
NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
Readme
MIT
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